Quality & Testing

Harness Generative AI to instantly create targeted test cases, accelerate defect resolution, and streamline documentation.  

Our autonomous AI agents continuously monitor, test, and optimize systems in real time — proactively identifying risks before they impact customers.

From strategy to execution, we integrate testing into every stage of delivery, enabling Agile, DevOps, and cloud-native teams to release with confidence.

Work with Portugal-based experts who understand your market, backed by Capgemini’s worldwide innovation network and proven delivery frameworks.

• Quality Maturity Assessments: Evaluate the current state of testing practices using industry frameworks (e.g., TMMi). Identify strengths, gaps, and opportunities for improvement. 
• Test Process Optimization: Redesign and streamline testing processes to improve efficiency, reduce waste, and align with Agile/DevOps principles. 
•  AI‑Readiness and Automation Strategy: Assess the organization’s readiness to adopt AI and automation in testing. Define a strategic roadmap including use cases, architecture, and upskilling plans. 
• Risk‑Based Testing Models: Prioritize testing efforts based on business and technical risk, ensuring critical areas are tested first and most thoroughly. 

• Smart Test Automation (UI, API, Mobile, Data): Automate testing across all layers of the application using tools like Playwright, Appium, Selenium, Postman, and data validation frameworks leveraged by GenAI tools to improve efficiency. 
• Agentic AI for Test Generation and Maintenance: Use AI agents to automatically generate, update, and maintain test cases based on code changes, user behavior, or requirements. 
• Self‑Healing Test Frameworks: Implement frameworks that detect changes in the application and automatically adjust test scripts to prevent false failures. 
• Continuous Test Execution in CI/CD Pipelines: Integrate automated tests into CI/CD pipelines to enable fast, continuous feedback and reduce time‑to‑release. 

• Manual and Exploratory Testing: Human‑led testing to validate functionality, uncover unexpected behaviors, and ensure a high‑quality user experience. 
• Performance, Load, and Stress Testing: Evaluate how the system performs under normal and extreme conditions to identify bottlenecks and scalability issues. 
• Accessibility and Usability Testing: Ensure applications are used by people with disabilities and provide a seamless experience across different user profiles. 
• Security Testing: Test for vulnerabilities, including penetration testing. 

• Synthetic Data Generation with GenAI: Use generative AI to create realistic, privacy‑compliant test data that reflects real‑world scenarios. 
• Data Masking and Subsetting: Anonymize and extract relevant subsets of production data for safe and efficient testing. 
• On‑Demand Test Environments (Cloud & Hybrid): Provision test environments dynamically in cloud or hybrid infrastructures, ensuring consistency and scalability. 
• Environment Virtualization and Orchestration: Simulate external systems and orchestrate complex test environments to support parallel and isolated testing. 

• Real‑Time Dashboards and KPIs: Provide live visibility into quality metrics such as test coverage, defect trends, and release readiness. 
• AI‑Powered Root Cause Analysis: Automatically analyze logs, metrics, and test results to identify the root cause of failures and suggest corrective actions
• Quality Gates and Governance Models: Define and enforce quality thresholds that must be met before code can progress through the pipeline. 

• Shift‑Left and Shift‑Right Testing: Embed testing early in development (shift‑left) and extend it into production monitoring (shift‑right) for continuous quality. 
• Test Coaching and Enablement for Squads: Upskill Agile teams with best practices, templates, and coaching to embed quality into their daily workflows. 
• Integration with Agile Toolchains: Connect testing activities with tools like Jira, Azure DevOps, and GitLab for traceability and automation. 
• Quality as Code and TestOps Practices: Automate test infrastructure and processes using code, enabling scalable, version‑controlled, and repeatable quality practices. 

• Banking & Financial Services (including Insurance): Testing solutions tailored to the regulatory, security, and operational demands of the financial sector, including compliance, secure transactions validation, and core banking systems testing. 
• Healthcare: Support for complex clinical and administrative workflows, legacy system integration, and compliance with healthcare regulations. Focus on data privacy, patient safety, and interoperability. 
• Public Sector: Testing services designed to support large‑scale, mission‑critical public administration systems, covering functional, automated, and performance testing across platforms. 
• Energy & Utilities: Testing services tailored to the digital transformation of the energy and utilities sector, including enterprise applications, customer platforms, and operational systems such as SAP and Salesforce. 
• Retail & Consumer Goods: End‑to‑end testing of omnichannel experiences, e‑commerce platforms, POS systems, and supply chain integrations. Focus on peak load performance and personalization engines.